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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Joint Recognition and Segmentation of Actions via Probabilistic
Integration of Spatio-Temporal Fisher Vectors
|
---|---|
Chapter number | 10 |
Book title |
Trends and Applications in Knowledge Discovery and Data Mining
|
Published in |
arXiv, February 2016
|
DOI | 10.1007/978-3-319-42996-0_10 |
Book ISBNs |
978-3-31-942995-3, 978-3-31-942996-0
|
Authors |
Johanna Carvajal, Chris McCool, Brian Lovell, Conrad Sanderson |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 37% |
Researcher | 4 | 21% |
Lecturer | 2 | 11% |
Student > Master | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 0 | 0% |
Unknown | 4 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 42% |
Engineering | 5 | 26% |
Agricultural and Biological Sciences | 1 | 5% |
Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 October 2016.
All research outputs
#18,437,241
of 22,842,950 outputs
Outputs from arXiv
#534,679
of 937,741 outputs
Outputs of similar age
#287,319
of 397,006 outputs
Outputs of similar age from arXiv
#6,735
of 14,623 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 937,741 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14,623 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.